Inferring molecular function: contributions from functional linkages.
In the current era of high-throughput sequencing and structure determination, functional annotation has become a bottleneck in biomedical science. Here, we show that automated inference of molecular function using functional linkages among genes increases the accuracy of functional assignments by > or =8% and enriches functional descriptions in > or =34% of top assignments. Furthermore, biochemical literature supports >80% of automated inferences for previously unannotated proteins. These results emphasize the benefit of incorporating functional linkages in protein annotation.
Medrano-Soto
Arturo
A
Howard Hughes Medical Institute (HHMI), 675C. E. Young Drive South, Los Angeles, CA 90095, USA.
Pal
Debnath
D
Eisenberg
David
D
D008040:Genetic Linkage; D011506:Proteins / Q000378:metabolism*
D011506:Proteins